GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
IEEE

Deep Learning for Glaucoma Classification and Grading: A Comprehensive Review on Fundus Imaging Approaches

Abstract: Glaucoma is one of the leading causes of blindness worldwide and is characterized by progressive visual field loss due to optic nerve damage. Early detection is fundamental, yet it is often ...
IEEE

Detection of Glaucoma Using A CNN-Based Hybrid Model with Color Fundus Images

Abstract: Glaucoma is a disease of the eye that damages the optic nerve, often as a result of fluid buildup in the front part of the eye. Elevated intraocular pressure due to this accretion may cause ...
Scientific Research Publishing

Yoon, B.W., Lim, S.H., Shin, J.H., Lee, J.W., Lee, Y. and Seo, J.H. (2021) Analysis of Oral Microbiome in Glaucoma Patients Using Machine Learning Prediction Models. Journal of ...

ABSTRACT: Fecal microbiota transplantation (FMT) has evolved from ancient Chinese medicine to a modern therapeutic intervention, gaining recognition in 1958 for treating pseudomembranous colitis.